Evidence map›Paper›PMID 34876037›Full record

ArticleBMC geriatrics2021

The risk of fall-related hospitalisations at entry into permanent residential aged care.

Maria C Inacio, Max Moldovan, Craig Whitehead, Janet K Sluggett, Maria Crotty, Megan Corlis, Renuka Visvanathan, Steve Wesselingh, Gillian E Caughey

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC geriatrics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Article
  7. Setting standards in residential aged care: identifying achievable benchmarks of care for long-term aged care services.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2024
    Article
  8. Article
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Maria C InacioRegistry of Senior Australians, South Australian Health and Medical Research Institute, PO Box 11060, Adelaide, SA, 5001, Australia. maria.inacio@sahmri.com.
Max MoldovanRegistry of Senior Australians, South Australian Health and Medical Research Institute, PO Box 11060, Adelaide, SA, 5001, Australia.
Craig WhiteheadCollege of Medicine and Public Health, Flinders University, Adelaide, SA, Australia.
Janet K SluggettRegistry of Senior Australians, South Australian Health and Medical Research Institute, PO Box 11060, Adelaide, SA, 5001, Australia.
Maria CrottyCollege of Medicine and Public Health, Flinders University, Adelaide, SA, Australia.
Megan CorlisUniSA Clinical & Health Sciences, University of South Australia, Adelaide, SA, Australia.
Renuka VisvanathanNational Health and Medical Research Council, Centre of Research Excellence Frailty Trans-Disciplinary Research to Achieve Healthy Ageing, Adelaide, SA, Australia.
Steve WesselinghRegistry of Senior Australians, South Australian Health and Medical Research Institute, PO Box 11060, Adelaide, SA, 5001, Australia.
Gillian E CaugheyRegistry of Senior Australians, South Australian Health and Medical Research Institute, PO Box 11060, Adelaide, SA, 5001, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEntering permanent residential aged care (PRAC) is a vulnerable time for individuals. While falls risk assessment tools exist, these have not leveraged routinely collected and integrated information from the Australian aged and health care sectors. Our study examined individual, system, medication, and health care related factors at PRAC entry that are predictors of fall-related hospitalisations and developed a risk assessment tool using integrated aged and health care data.

methodsA retrospective cohort study was conducted on N = 32,316 individuals ≥65 years old who entered a PRAC facility (01/01/2009-31/12/2016). Fall-related hospitalisations within 90 or 365 days were the outcomes of interest. Individual, system, medication, and health care-related factors were examined as predictors. Risk prediction models were developed using elastic nets penalised regression and Fine and Gray models. Area under the receiver operating characteristics curve (AUC) assessed model discrimination.

results64.2% (N = 20,757) of the cohort were women and the median age was 85 years old (interquartile range 80-89). After PRAC entry, 3.7% (N = 1209) had a fall-related hospitalisation within 90 days and 9.8% (N = 3156) within 365 days. Twenty variables contributed to fall-related hospitalisation prediction within 90 days and the strongest predictors included fracture history (sub-distribution hazard ratio (sHR) = 1.87, 95% confidence interval (CI) 1.63-2.15), falls history (sHR = 1.41, 95%CI 1.21-2.15), and dementia (sHR = 1.39, 95%CI 1.22-1.57). Twenty-seven predictors of fall-related hospitalisation within 365 days were identified, the strongest predictors included dementia (sHR = 1.36, 95%CI 1.24-1.50), history of falls (sHR = 1.30, 95%CI 1.20-1.42) and fractures (sHR = 1.28, 95%CI 1.15-1.41). The risk prediction models had an AUC of 0.71 (95%CI 0.68-0.74) for fall-related hospitalisations within 90 days and 0.64 (95%CI 0.62-0.67) for within 365 days.

conclusionRoutinely collected aged and health care data, when integrated at a clear point of action such as entry into PRAC, can identify residents at risk of fall-related hospitalisations, providing an opportunity for better targeting risk mitigation strategies.

Indexed as

Accidental FallsHospitalizationAgedAged, 80 and overAustraliaFemaleHumansResidential FacilitiesRetrospective StudiesRisk FactorsAged careFallsInjuryRisk-prediction

Identifiers

PMID34876037
PMCPMC8650418

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.